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The purpose of this paper is to solve the problem of low efficiency on knowledge resources allocation in the strategic emerging industry (SEI), an incentive model of technology innovation based on knowledge ecological coupling is designed.

First, a principal–agent model of knowledge inputs and a knowledge ecological coupling model based on an improved Lotka–Volterra model are constructed. In addition, a numerical example about Chongqing Yongchuan industrial park, the emulation analysis and the associated discussions are conducted to analyze the equilibriums of principal–agent in different knowledge inputs. Further, the paper analyzes the evolutionary equilibrium in knowledge ecological coupling and reveals the dual adjustments of the node organization on knowledge inputs.

Thus, this paper shows that by establishing the relationships of knowledge ecological coupling based on “mutualism and commensalism,” node organization raises the level of knowledge inputs; an incentive mode of “knowledge ecological coupling relationship + technology innovation chain” is conductive to substantially improving the efficiency of knowledge resource allocation, and to stimulate the vitality of node organization for technology innovation in the strategic emerging industry (SEI).

This paper contributes to the extant researches in two ways. First, this paper reveals the dual adjustments of the node organizations in inputting knowledge, which broadens the vision and borders of the researches on traditional knowledge management. The methods of the traditional principal–agent model and the knowledge input/output profit model are also expanded. Second, this paper verifies that applying the mode of “knowledge ecological coupling relationship + technology innovation chain” in practice is conducive to enhancing the efficiency of the cross-organizational knowledge allocation in the strategic emerging industry (SEI).

Some personality schemas are seen to compete with others, but are they really complementary? The purpose of this paper is to show that two trait approaches, Myers‐Briggs Type Indicator (MBTI) and Mindscape theory, which are normally considered to be competitive, shall be migrated into a more complex modeling space using knowledge cybernetics, when they are shown to have a complementary potential.

The paper uses the meta‐framework of knowledge cybernetics (KC) part of the relevantial universe identified by Maruyama, to migrate different theoretical approaches and relate them. A consequence is the possible development of a more sophisticated trait theory that is capable of providing more complex information about personality.

The findings indicate that current type theories are not necessarily stand‐alone, but may be seen as complementary within a broader conceptual framework.

This paper is limited to the investigation of MBTI. However, it offers a generic approach that can be applied to other solitary theories like MBTI.

The paper leads to the possibility of improved explanatory power for a type theory than is currently possible.

Very little comparative work has been done relating representations of MBTI and Mindscape theory. This also appears to be the first serious extensive direct comparison between any form of MBTI and Mindscapes. KC uses Habermas's three world theory and shows that it is possible to consider MBTI and Mindscape theory as conceptually distinct and complementary, and together contributing to a new way of exploring the field of personality theory.

This study aims to introduce a new prescriptive model to aid both managers and researchers in partner selection for innovation-orientated collaboration. This framework demonstrates how prospective partner firms’ complementing bodies of knowledge and goal alignment interact to affect the success of a collaboration.

The authors use geometric modeling to represent the interrelationships among knowledge similarity/dissimilarity, goal congruence, knowledge complementarity (KC) and innovation in alliance formation. Using this model as a framework, the authors derive relationships among predictors of innovation success and determine how they affect the nature of partnerships under varying conditions of KC.

This research shows how innovation success is strongly determined by partner selection. Specifically, the authors examine the influence of KC and partner goals on three aspects of a potential research and development (R&D) alliance – the potential level of innovation outcome for the alliance, the boundaries of knowledge sharing and limitations arising from knowledge and goal incongruence and the nature of cooperation.

Although there is broad empirical support that innovation success is influenced by the similarity of R&D partners’ knowledge, further research is still needed to model the relationship more precisely between partner KC and goal alignment. The authors address this gap by developing a model that is both prescriptive and predictive of how innovation success can be achieved in the context of disparate but complementing knowledge and goal sets. The authors conclude with practical implications for practice and future research directions.

Knowledge creation (KC) is an important issue in a knowledge society. Organizational change is required to facilitate KC which embraces knowledge access and selection, knowledge diffusion, knowledge application, and knowledge storage. In this paper, three momenta of organizational change are reviewed and integrated. Knowledge access and selection driven by institutional regulation takes place in the beginning phase, knowledge diffusion and knowledge application driven by rationality in the subsequent phase, and knowledge storage driven by structural inertia in the last phase. Once the right momentum influences organizational change in the wrong phase, KC can rarely be accomplished.

The author aims to provide a macro (organization‐environment) view for knowledge creation (KC), a study traditionally considered to be a micro (individual‐organization) management issue.

Literature review and literature integration are the main approaches used in this paper. Instead of providing a critique, the author reviews recent KC process studies and integrates them into a “process heuristic,” in which different phases of KC activity are embedded. The author then discusses how each phase of KC interacts with the change of an organization's external environment (the integration of change theories and the KC process heuristic).

The author found that an organization needs the function and balance of three different momenta – imitation, rationality, and inertia – to proceed with KC when confronted with pressure from external environments. Knowledge feedback, prompted by the synergy of these momenta, ensures the fitness of an organization and its environment. However, knowledge feedback falls short if organizations fail to process ambiguous information in a turbulent environment.

The author provides five propositions based on the literature review. One may need more qualitative or quantitative evidence to test these propositions.

In addition to the traditional micro view, managers can diagnose their KC problems from a macro view.

This paper is the first one to address the importance of environment‐organization fitness in terms of KC studies.

The continuous development of information technology leads to intelligent education research. In the context of internationalisation, the study aims to understand the relevant research status worldwide, research similarities and differences that need to be discovered, and research frontiers that need to be explored.

Web of Science (WoS) core collection was used as the data source, descriptive statistical analysis, geographic data visualisation and coupling analysis are used to reveal coupling relationships, present a cooperative situation and discover research frontiers.

Intelligent education research has been widely carried out in countries around the world, and there is extensive scientific research cooperation. According to coupling analysis results, the coupling strength of bibliographic between countries has been continuously improved, while the coupling strength of keywords has remained balanced, and there is standardisation and diversity of research.

The weakness of the research lies in the limitations of the data sources. Important research achievements on a certain topic in many non-English speaking countries are usually published in native journals. In the future research direction, more coupling analysis objects can be carried out, such as focussing on authors and institutions.

Through the coupling analysis of country bibliographic and keywords, it reveals the consistency and divergence of intelligent education research between different countries at different time spans.

Design and implement country bibliographic coupling (CBC) and country keyword coupling (CKC) strength indicators to calculate the strength of coupling between countries.

Based on the information commons service model, the aim of this article is to propose a new model for knowledge commons. It seeks to define the conceptual model and constructing framework of knowledge commons, which aim for a collaborative knowledge‐sharing environment to support innovative community activities of university library.

By analyzing the innovation activities of communities, infusing theories of knowledge management, collaboration and Library 2.0, the knowledge commons conceptual model is brought forward to improve communication, collaboration, sharing and conversation.

Since the innovative community is interdisciplinary and cross‐campus, the scattered research team and study group requires a library to extend the services to a logical system, while the virtual layer is to make this spatial decentralized and logically centralized system a reality. The core elements, namely information technology, organization and management, culture and spirit, make up the supporting layer, of which, trust and collaboration culture for innovation is important.

Research work and practice of information commons and library 2.0 have aroused a new round of the library service movement, while the knowledge commons conceptual model would provide steering for a knowledge sharing environment.

In this paper, the new model is based on information commons and assimilating the theories of knowledge management, collaboration and Library 2.0, intended to integrate digital library, physical resource, virtual resource and human resource into a whole. It is of great importance for the library to serve education and scientific research well.

The purpose of this paper is to identify general success factors (GSFs), key success factors (KSFs) and critical success factors (CSFs) needed to change Tehran to a Knowledge City (KC).

The paper briefly reviews the literature related to KCs, and especially the factors necessary for a KC. Through the review of the literature GSFs are identified, followed by statistical evidence to determine which one of the GSFs are KSFs and which can be considered as CSF or competency factors (CF).

The findings of the research indicate that there are 27 relevant items and seven main factors as GSFs for changing Tehran to a KC. Also, the authors find that all seven GSFs are both KSFs and CSFs.

As the research is limited to a specific city, the findings cannot be generalized. Also, limited familiarity of the concept of KCs by practitioners and academic members can be considered as another limitation of the study.

This study is of benefit to those authorities/agencies trying to change Tehran to a KC.

The paper provides insights to different dimensions of KCs, and has identified GSFs, KSFs and CSFs for a city that intends to become a KC.

Products are complex and are comprised of many parts from many sources, designed at different times by different people and companies. The same holds true for the tooling and fixtures used to make and assemble them. There is little research and practice on how to design assemblies that deal with such problems. The purpose of this paper is to describe a technique aimed at this goal.

The technique is built up from a number of concepts. The paper defines the intent of the design, identifies key assembly‐level dimensions called key characteristics (KCs) that embody the intent, designs an architecture for the assembly that will deliver each key dimension within some stated tolerance, and conveys the intent and architecture in the form of a diagram called a datum flow chain (DFC).

The design and achievement of KCs is a joint responsibility of engineering and manufacturing.

The DFC method provides people with a vocabulary and a simple diagramming technique by which they can document the design intent, debate the merits of different designs, and anticipate where assembly problems will occur.

Knowledge is a main resource of any organization. Knowledge management (KM) is identified by four processes: creating, capturing, distributing and sharing of knowledge. Technology can enable successful KM. The purpose of this paper is to propose a technology knowledge management (TKM) taxonomy, which lists popular electronic tools that can enhance KM processes and shows which tool can contribute to which processes.

The taxonomy was developed by an extensive literature review of electronic KM tools and a three-year extensive analysis of different knowledge sources at the Jeddah Municipality (JM) in Saudi Arabia.

The taxonomy can be used by practitioners developing an organizational KM system to guide them to choose a sufficient subset of tools that covers all four processes in order to ensure that no process is overlooked.

The result of using the TKM taxonomy and its effect on KM success is an interesting area for further research. However, the current value underlies in it offering practitioners a rough roadmap to an electronic KM system and aids in giving at least a starting point.

The TKM taxonomy can be used by large scale organizations to guide in developing a KM system effectively and more efficiently. Furthermore, the JM KC is a good model for similar organizations to use, with all the tools explained in the paper.

The paper addresses some of the social elements related to successful KM in organizations. However, it is more technically targeted.

Researchers have investigated either the holistic effect of IT on KM or described certain tools. The types of IT tools and their effect on KM have not been investigated. Furthermore, limited research addresses the design of effective KM systems and no tools exist to guide designers. The TKM taxonomy is a tool that can help KM practitioners and strategists to design effective KM systems efficiently, by guiding them in choosing tools that are suitable for certain KM processes. The paper also describes the JM Knowledge Center as a KMS model for organizations which addresses all four KM processes.